我正在嘗試在 Android 上運(yùn)行車(chē)牌檢測(cè)?？梢哉业絯pod-net.h5所以我嘗試使用以下命令將其轉(zhuǎn)換為 TensorFlow lite：import tensorflow as tfmodel = tf.keras.models.load_model('wpod-net.h5')converter = tf.lite.TFLiteConverter.from_keras_model(model)converter.post_training_quantize = Truetflite_model = converter.convert()open("wpod-net.tflite", "wb").write(tflite_model)但是當(dāng)我運(yùn)行這個(gè)時(shí)，我遇到了這個(gè)錯(cuò)誤：? File "converter.py", line 3, in <module>? ? model = tf.keras.models.load_model('License_character_recognition.h5')? File "/home/.local/lib/python3.8/site-packages/tensorflow/python/keras/saving/save.py", line 184, in load_model? ? return hdf5_format.load_model_from_hdf5(filepath, custom_objects,? File "/home/.local/lib/python3.8/site-packages/tensorflow/python/keras/saving/hdf5_format.py", line 175, in load_model_from_hdf5? ? raise ValueError('No model found in config file.')ValueError: No model found in config file.我也嘗試過(guò)使用 API tflite_convert --keras_model_file=License_character_recognition.h5 --output_file=test.tflite ，但它給了我同樣的錯(cuò)誤。這是否意味著如果我自己沒(méi)有訓(xùn)練模型，我無(wú)法將其轉(zhuǎn)換為 tflite ？或者還有其他方法來(lái)轉(zhuǎn)換 .h5 嗎？